Under the assumption of a known exposure model [1]}, [2]}, [3]}, the outcome of each unit depends on the treatments through a small set of statistics, termed the unit exposure; for example, a unit's exposure might equal its number of friends who were assigned to treatment. For this setting, [1]} gives propensity-weighted estimates and confidence intervals for the average treatment effect, which they define to be the difference in average outcome between two treatment allocations (such as full treatment and full control).
